ArticleNursing open2025
Nursing Students' Perception of and Readiness for Artificial Intelligence in Saudi Arabia.
Article in Nursing open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Article
- AI Use, Perceptions, and Perceived Impact Among Nursing Students: Cross-Sectional Study.JMIR nursing · 2026Article
- Knowledge, Attitude, Benefits, Risks, Barriers, Professional Impact, and Preparedness of Nursing Students Toward the Utilization of Artificial Intelligence in Healthcare.Nursing reports (Pavia, Italy) · 2026Article
- Nursing Students' Perception of and Readiness for Artificial Intelligence in Saudi Arabia.Nursing open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
aimsArtificial intelligence (AI) is reshaping healthcare by enhancing the quality and efficiency of patient care. Nursing students, as future healthcare providers, must be prepared to integrate AI into practice. However, limited research exists on their perceptions and readiness to use AI at King Saud University (KSU) in Saudi Arabia. This study aimed to assess the perceptions and readiness of nursing students toward the use of AI in healthcare and to identify the predictors of their readiness for medical AI.
designA descriptive, cross-sectional, correlational study was conducted among 304 nursing students selected through convenience sampling.
methodsThe General Perceptions of the Use of Artificial Intelligence Applications Scale was used to assess perceptions, while the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) measured readiness. Data were analysed using appropriate statistical methods.
resultsOverall perception of AI was high (mean = 3.67, SD = 0.91), with the 'advantages of AI' scoring the highest (mean = 3.99, SD = 0.81). Readiness for medical AI was also high (mean = 3.79, SD = 0.74). Among the MAIRS-MS dimensions, ethics scored highest (mean = 3.91, SD = 0.71), followed by ability (mean = 3.86, SD = 0.71), cognition (mean = 3.72, SD = 0.76) and vision (mean = 3.69, SD = 0.78). Predictors of readiness included highest educational attainment (p = 0.007), advantages of AI (p = 0.004) and overall perceptions of AI applications. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.